Dr. John R. Talburt, Director of the Information Quality Graduate Program, University of Arkansas at Little Rock

Jay Zaidi, Founder and Managing Partner, AlyData

Henrik Liliendahl Sorensen, MDM Specialist, Liliendahl.com

Your Challenge

Data users do not trust the data quality in your company. Business users bypass IT and establish their own data silos to manage quality. Without governance or consistency, data quality issues are propagated further within data silos.

Data is not usable or useful to the business due to deficiencies in quality and processes, resulting in decisions being made based on intuition and weak analysis. Worse, these decisions can be based on the wrong data.

Modern regulatory environments are becoming increasingly strict and demanding. Not knowing the level of data quality or an inability to control data quality leads to significant exposure to risks around data compliance and security.

With suboptimal data quality, companies are unable to launch related data initiatives such as business intelligence, master data management, and big data. They need a clear understanding of business requirements and the implementation of data quality processes first.

Our Advice

Critical Insight

A business-driven and strategic approach to getting data quality right enables the implementation of best practices to ensure it stays that way.

Hone in on key data subject areas first and employ an incremental approach to build a data quality practice; once successful, tackle the remaining data that is important to your business.

Integrating data quality provisions in every stage of the data life cycle will provide a modern, effortless, and self-governed framework for data quality sustainability.

Impact and Result

Implement a set of data quality initiatives that are aligned with overall business objectives and aimed at addressing data practices and the data itself.

Onsite Workshop

Book Your Workshop

Onsite workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn't enough, we offer low-cost onsite delivery of our project workshops. We take you through every phase of your project and ensure that you have a roadmap in place to complete your project successfully.

Module 1: Understand the Business Context

The Purpose

Understand the corporate strategy and goals.

Identify the most valuable subject areas to work on.

Define data quality principles to guide the project.

Scope, structure, and staff the project.

Key Benefits Achieved

Understanding of the business’s needs for data quality.

Knowledge of which subject areas are the most valuable to the business and how data quality interacts with those subject areas.